Beating SGD Saturation with Tail-Averaging and Minibatching

22 February 2019

Papers citing "Beating SGD Saturation with Tail-Averaging and Minibatching"

8 / 8 papers shown

Title
Iterative regularization in classification via hinge loss diagonal descent Vassilis Apidopoulos T. Poggio Lorenzo Rosasco S. Villa 34 2 0 24 Dec 2022
Online Regularized Learning Algorithm for Functional Data Yuan Mao Zheng-Chu Guo 21 4 0 24 Nov 2022
Provable Generalization of Overparameterized Meta-learning Trained with SGD Yu Huang Yingbin Liang Longbo Huang MLT 35 8 0 18 Jun 2022
Improved Learning Rates for Stochastic Optimization: Two Theoretical Viewpoints Shaojie Li Yong Liu 26 13 0 19 Jul 2021
From inexact optimization to learning via gradient concentration Bernhard Stankewitz Nicole Mücke Lorenzo Rosasco 31 5 0 09 Jun 2021
Fine-Grained Analysis of Stability and Generalization for Stochastic Gradient Descent Yunwen Lei Yiming Ying MLT 43 126 0 15 Jun 2020
Sobolev Norm Learning Rates for Regularized Least-Squares Algorithm Simon Fischer Ingo Steinwart 41 148 0 23 Feb 2017
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes Ohad Shamir Tong Zhang 104 572 0 08 Dec 2012